use of org.apache.druid.data.input.impl.TimestampSpec in project druid by druid-io.
the class ThriftInputRowParserTest method testDisableJavaScript.
@Test
public void testDisableJavaScript() {
final JavaScriptParseSpec parseSpec = new JavaScriptParseSpec(new TimestampSpec("timestamp", "auto", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("dim1", "dim2"))), "func", new JavaScriptConfig(false));
ThriftInputRowParser parser = new ThriftInputRowParser(parseSpec, "example/book.jar", "org.apache.druid.data.input.thrift.Book");
expectedException.expect(CoreMatchers.instanceOf(IllegalStateException.class));
expectedException.expectMessage("JavaScript is disabled");
// noinspection ResultOfMethodCallIgnored (this method call will trigger the expected exception)
parser.parseBatch(ByteBuffer.allocate(1)).get(0);
}
use of org.apache.druid.data.input.impl.TimestampSpec in project druid by druid-io.
the class MapVirtualColumnTestBase method generateIndex.
static IncrementalIndex generateIndex() throws IOException {
final CharSource input = CharSource.wrap("2011-01-12T00:00:00.000Z\ta\tkey1,key2,key3\tvalue1,value2,value3\n" + "2011-01-12T00:00:00.000Z\tb\tkey4,key5,key6\tvalue4\n" + "2011-01-12T00:00:00.000Z\tc\tkey1,key5\tvalue1,value5,value9\n");
final StringInputRowParser parser = new StringInputRowParser(new DelimitedParseSpec(new TimestampSpec("ts", "auto", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(Arrays.asList("dim", "keys", "values"))), "\t", ",", Arrays.asList("ts", "dim", "keys", "values"), false, 0), "utf8");
final IncrementalIndexSchema schema = new IncrementalIndexSchema.Builder().withMinTimestamp(DateTimes.of("2011-01-12T00:00:00.000Z").getMillis()).build();
return TestIndex.loadIncrementalIndex(() -> new OnheapIncrementalIndex.Builder().setIndexSchema(schema).setMaxRowCount(10000).build(), input, parser);
}
use of org.apache.druid.data.input.impl.TimestampSpec in project druid by druid-io.
the class TimestampsParquetReaderTest method testParseInt96Timestamp.
@Test
public void testParseInt96Timestamp() throws IOException {
// the source parquet file was found in apache spark sql repo tests, where it is known as impala_timestamp.parq
// it has a single column, "ts" which is an int96 timestamp
final String file = "example/timestamps/int96_timestamp.parquet";
InputRowSchema schema = new InputRowSchema(new TimestampSpec("ts", "auto", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of())), ColumnsFilter.all());
InputEntityReader reader = createReader(file, schema, JSONPathSpec.DEFAULT);
List<InputRow> rows = readAllRows(reader);
Assert.assertEquals("2001-01-01T01:01:01.000Z", rows.get(0).getTimestamp().toString());
reader = createReader(file, schema, JSONPathSpec.DEFAULT);
List<InputRowListPlusRawValues> sampled = sampleAllRows(reader);
final String expectedJson = "{\n" + " \"ts\" : 978310861000\n" + "}";
Assert.assertEquals(expectedJson, DEFAULT_JSON_WRITER.writeValueAsString(sampled.get(0).getRawValues()));
}
use of org.apache.druid.data.input.impl.TimestampSpec in project druid by druid-io.
the class TimestampsParquetReaderTest method testTimeMillisInInt64.
@Test
public void testTimeMillisInInt64() throws IOException {
final String file = "example/timestamps/timemillis-in-i64.parquet";
InputRowSchema schema = new InputRowSchema(new TimestampSpec("time", "auto", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of())), ColumnsFilter.all());
InputEntityReader reader = createReader(file, schema, JSONPathSpec.DEFAULT);
List<InputRow> rows = readAllRows(reader);
Assert.assertEquals("1970-01-01T00:00:00.010Z", rows.get(0).getTimestamp().toString());
reader = createReader(file, schema, JSONPathSpec.DEFAULT);
List<InputRowListPlusRawValues> sampled = sampleAllRows(reader);
final String expectedJson = "{\n" + " \"time\" : 10\n" + "}";
Assert.assertEquals(expectedJson, DEFAULT_JSON_WRITER.writeValueAsString(sampled.get(0).getRawValues()));
}
use of org.apache.druid.data.input.impl.TimestampSpec in project druid by druid-io.
the class WikiParquetReaderTest method testWiki.
@Test
public void testWiki() throws IOException {
InputRowSchema schema = new InputRowSchema(new TimestampSpec("timestamp", "iso", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("page", "language", "user", "unpatrolled"))), ColumnsFilter.all());
InputEntityReader reader = createReader("example/wiki/wiki.parquet", schema, JSONPathSpec.DEFAULT);
List<InputRow> rows = readAllRows(reader);
Assert.assertEquals("Gypsy Danger", rows.get(0).getDimension("page").get(0));
String s1 = rows.get(0).getDimension("language").get(0);
String s2 = rows.get(0).getDimension("language").get(1);
Assert.assertEquals("en", s1);
Assert.assertEquals("zh", s2);
reader = createReader("example/wiki/wiki.parquet", schema, JSONPathSpec.DEFAULT);
List<InputRowListPlusRawValues> sampled = sampleAllRows(reader);
final String expectedJson = "{\n" + " \"continent\" : \"North America\",\n" + " \"country\" : \"United States\",\n" + " \"added\" : 57,\n" + " \"city\" : \"San Francisco\",\n" + " \"unpatrolled\" : \"true\",\n" + " \"delta\" : -143,\n" + " \"language\" : [ \"en\", \"zh\" ],\n" + " \"robot\" : \"false\",\n" + " \"deleted\" : 200,\n" + " \"newPage\" : \"true\",\n" + " \"namespace\" : \"article\",\n" + " \"anonymous\" : \"false\",\n" + " \"page\" : \"Gypsy Danger\",\n" + " \"region\" : \"Bay Area\",\n" + " \"user\" : \"nuclear\",\n" + " \"timestamp\" : \"2013-08-31T01:02:33Z\"\n" + "}";
Assert.assertEquals(expectedJson, DEFAULT_JSON_WRITER.writeValueAsString(sampled.get(0).getRawValues()));
}
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